Using default mask: /Users/h/Documents/MATLAB/CanlabCore/CanlabCore/canlab_canonical_brains/Canonical_brains_surfaces/brainmask_canlab.nii
loading mask. mapping volumes.
checking that dimensions and voxel sizes of volumes are the same.
Pre-allocating data array. Needed: 24360228 bytes
Loading image number: 61
Elapsed time is 224.135738 seconds.
Image names entered, but fullpath attribute is empty. Getting path info.
Number of unique values in dataset: 5943010 Bit rate: 22.50 bits
Loading atlas: CANlab_combined_atlas_object_2018_2mm.mat
Initializing nodes to match regions.
Updating node response data.
Updating obj.connectivity.nodes.
Updating obj.connectivity.nodes.
Updating region averages.
Updating obj.connectivity.regions.
Updating obj.connectivity.regions.
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Input image diagnostic information
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Retained 8 components for mahalanobis distance
Expected 50% of points within 50% normal ellipsoid, found 57.38%
Expected 3.05 outside 95% ellipsoid, found 0
Potential outliers based on mahalanobis distance:
Bonferroni corrected: 0 images Cases
Uncorrected: 0 images Cases
Retained 3 components for mahalanobis distance
Expected 50% of points within 50% normal ellipsoid, found 31.15%
Expected 3.05 outside 95% ellipsoid, found 5
Potential outliers based on mahalanobis distance:
Bonferroni corrected: 1 images Cases 44
Uncorrected: 5 images Cases 7 44 50 53 57
Extracting from gray_matter_mask_sparse.img.
Extracting from canonical_white_matter.img.
Extracting from canonical_ventricles.img.
mean_gray_matter_coverage: 1
global_d_ventricles: 0.4777
global_logp_ventricles: 2.5914
global_d_wm: 0.6215
global_logp_wm: 3.8788
gm_explained_by_csf_pvalue: 3.9172e-06
r2_explained_by_csf: 0.3052
gm_l2norm_explained_by_csf_pvalue: 0
r2_l2norm_explained_by_csf: 0.7985
csf_to_gm_signal_ratio: 1.4072
gm_scale_inhom: 0.6995
csf_scale_inhom: 0.7214
warnings: {1×6 cell}
Warning: Significant global activation in CSF space/ventricles.
- Effect size is d = 0.48
Warning: Significant global activation in white matter.
- Effect size is d = 0.62
Warning: Gray-matter individual diffs significantly correlated with mean CSF value.
- Var explained (r^2) = 30.52%
Warning: Gray-matter scale (L2 norm) significantly correlated with mean CSF L2 norm.
- Var explained (r^2) = 79.85%
Warning: Strong non-zero signal in CSF relative to gray matter.
- Ratio is = 1.41
Warning: High individual diffs in image scaling estimated from CSF.
- CV is = 0.72
Number of unique values in dataset: 1 Bit rate: 0.00 bits
Warning: Number of unique values in dataset is low, indicating possible restriction of bit rate. For comparison, Int16 has 65,536 unique values
Number of unique values in dataset: 1 Bit rate: 0.00 bits
Warning: Number of unique values in dataset is low, indicating possible restriction of bit rate. For comparison, Int16 has 65,536 unique values
Number of unique values in dataset: 1 Bit rate: 0.00 bits
Warning: Number of unique values in dataset is low, indicating possible restriction of bit rate. For comparison, Int16 has 65,536 unique values
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Parcel-wise robust regression
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maxTminPsig05sig005sig001sigFDR05p_thr_FDR05min_d_FDR05_______________________________________________________________Intercept (Group avg) 4.5373 2.7888e-05 241 109 45 390 0.2518 0.086869
sig*: Significant parcels at given threshold (p < 0.05 two-tailed, q < 0.05 FDR, etc.)
p_thr_FDR05: P-value threshold to achieve q < 0.05 FDR-corrected for each predictor
min_d_FDR05: Min Cohen's d detectable at FDR q < 0.05dashes
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Tables of regions at q < 0.05 FDR
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Predictor 1: Intercept (Group avg)
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Grouping contiguous voxels: 4 regions